Method and system of selecting a view from a plurality of cameras

ABSTRACT

A system and method of selecting an area of interest from a plurality of images captured by a plurality of cameras are described. The method includes receiving a request for an area of interest from a plurality of images, the area of interest containing an object of interest selected by a user, the object of interest being captured in one or more images captured by one or more of the plurality of cameras, the plurality of cameras having overlapping field of views; determining a camera within the plurality of cameras that wholly contains the area of interest; transforming the physical location of the object of interest into a pixel position such that the area of interest being essentially centered around the pixel position corresponding to the physical location of the object of interest; and extracting the area of interest.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent applicationSer. No. 15/142,720, filed on Apr. 29, 2016, which claims the benefit ofpriority of U.S. Provisional Patent Application No. 62/155,005 filed onApr. 30, 2015, the entire content of the foregoing applications isincorporated herein by reference.

BACKGROUND OF THE INVENTION Field of the Invention

The present invention pertains to image data management and inparticular to a method and system of selecting a view or an area ofinterest (AOI) from a plurality of images captured by a plurality ofcameras.

Discussion of Related Art

A relatively large image generally contains a plurality of pixels, e.g.,millions of pixels. Each pixel has one, two or more bands. Each band hasa certain color depth or bit depth. For example, an RGB color-basedimage has 3 bands, the red band (R), the green band (G) and the blueband (B). Each of the R, G and B bands can have a depth of 8 bits ormore. Hence, in this example, each pixel can have a total bit depth of24 bits or more.

A video or film camera captures a plurality of images or frames at acertain rate, i.e., a number of times per second (frames per second).Each captured image or frame, in a digital form, has a certain sizedefined by its pixel height and its pixel width. Pixel heightcorresponds to a number of rows of pixels in the image and pixel widthcorresponds to the number of columns in the image. Each image pixel hasone or more bands. Each band can represent a quantized signal from arange of frequencies from the electromagnetic spectrum. For example, inthe visible spectrum, the bands can represent different colors such asred, blue, and green (RGB).

An image sensor or camera can be used to capture a series of images orframes. Each image or frame in the series of images or frames can havethousands of pixels. Each image may have a relatively high resolution,such as 4K, 6K, 8K or more. As understood in the art, a 4K resolutionrefers to content or image(s) having horizontal resolution on the orderof 4,000 pixels. Several 4K resolutions exist in the fields of digitaltelevision and digital cinematography. In the movie projection industry,DIGITAL CINEMA INITIATIVES (DCI) is the dominant 4K standard. A 4Kresolution, as defined by DCI, is 4096 pixels×2160 pixels (approximatelya 1.9:1 aspect ratio). An image of 4096 pixels by 2160 pixels has about9 Megapixels (MP). As specified in standards for Ultra High Definitiontelevision, 4K resolution is also defined as 3840 pixels×2160 pixels(approximately a 1.78:1 aspect ratio). The following TABLE 1 providesexamples of known standards for relatively high resolution imagescaptured by industry standard camera sensors.

TABLE 1 Resolution (W pixels wide by H pixels tall Format or W × H)Ultra high definition television (UHDTV) 3840 × 2160 (Aspect Ratio is1.78:1) Ultra wide television 5120 × 2160 (Aspect Ratio is 2.33:1) WHXGA5120 × 3200 (Aspect Ratio is 1.6:1) DCI 4K (native) 4096 × 2160 (AspectRatio is 1.90:1) DCI 4K (Cinemascope) 4096 × 1716 (Aspect Ratio is2.39:1) DCI 4K (flat cropped) 3996 × 2160 (Aspect Ratio is 1.85:1)8K-UHD 7680 × 3200 (Aspect Ratio is 2.4:1)

The images may be captured in sequence, for example at a reasonablyconstant frequency (e.g., 24 images or frames per second (fps), 48 fps,60 fps, etc.). Each image (i.e., each still image or frame) in thesequence or series of images may have one or more distinct bands and maycover any part of the electromagnetic spectrum that can be captured bythe image sensor or camera, including, the visible (VIS) spectrum, theinfrared (IR) spectrum or the ultraviolet (UV) spectrum. The imagesensor or camera may be a single sensor or a combination or a matrix ofmultiple smaller sensors or cameras that can be arranged to generate alarger image. Each smaller sensor or camera can be configured to capturea plurality of smaller images. The smaller images captured by thesmaller sensors or cameras can then be combined (or stitched) to form aplurality of larger images.

In the media and entertainment industry, on network television, on cabletelevision, on broadcast television, and on digitally distributed videocontent, some of the highest image pixel resolutions are known as 4K and8K. For film, 4K is an image frame that is 4096 pixels wide by 2160pixels tall. For ultra-high definition TV, 4K is an image frame that is3840 pixels wide by 2160 pixels tall. In addition, 8K image frame sizesare also gaining ground. However, the most popular distribution formatsare still 720P and 1080P which have image frame sizes of 1280 pixelswide by 720 pixels tall and 1920 pixels wide by 1080 pixels tall,respectively. Recently, 4K media playback devices have reached themainstream market. These devices can also interpolate and display 1080Pcontent.

Those skilled in the media and entertainment industry are aware ofvarious existing and published standards in the industry. For example,in sport broadcasts, such as NASCAR®, NFL®, NHL®, NBA®, and FIFA®, withthe advent of live and archive media streaming, the “second-screen”experience has gained popularity. For example, some sports venues haveemployed custom camera configurations that capture a video of arelatively high resolution that is larger than 1920 pixel wide and 1080pixels tall. A video of image size 1920×1080 captured at 30 fps or 60fps is also referred to as 1080P. For example, 3D-4U based in Seattle,Wash., USA, creates a very wide strip of video that is approximately18000 pixels wide by 720 pixels tall or 1080 pixels tall. Using customsoftware and computers, they extract a smaller area of interest a sizesubstantially smaller in pixel width and height than the captured stripcontent. This smaller area is optimized for display on a virtual realityenvironment or an APPLE iPad®.

However, none of the known image technologies or systems are able toprovide or deliver a plurality of images or a video where an object inphysical space captured in one or more images of the plurality of imagescan be mapped to pixels of the one or more images.

BRIEF SUMMARY OF THE INVENTION

An aspect of the present invention is to provide a method of selectingan area of interest from a plurality of images captured by a pluralityof cameras, the method being implemented by a computer system thatincludes one or more processor units configured to execute computerprogram modules. The method includes receiving, by the one or moreprocessor units, a request for an area of interest from a plurality ofimages, the area of interest containing an object of interest selectedby a user, the object of interest being captured in one or more imagescaptured by one or more of the plurality of cameras, the plurality ofcameras having overlapping field of views such that images captured bythe plurality of cameras have a plurality of overlapping regions, therequest containing an identity of the object of interest; determining,by the one or more processor units, a camera within the plurality ofcameras that wholly contains the area of interest using the physicallocation of the object of interest; transforming, by the one or moreprocessor units, the physical location of the object of interest into apixel position within an image of a specific camera within the pluralityof cameras such that the area of interest being essentially centeredaround the pixel position corresponding to the physical location of theobject of interest, and is wholly contained within the image captured bythe specific camera; and extracting, by the one or more processor units,the area of interest substantially centered around the pixel positioncorresponding to the physical location of the object of interest.

Another aspect of the present invention is to provide a method ofextracting an area of interest containing an object of interest from aplurality of images captured using a plurality of cameras, the methodbeing implemented by a computer system that includes one or moreprocessor units configured to execute computer program modules. Themethod includes determining, by the one or more processor units, usingthe data of the locator or the physical location of the object ofinterest, a camera within the plurality of cameras that wholly containsthe area of interest, the area of interest containing the object ofinterest, the object of interest being captured in one or more imagescaptured by one or more of the plurality of cameras, the plurality ofcameras having overlapping field of views such that images captured bythe plurality of cameras have a plurality of overlapping regions;transforming, by the one or more processor units, the physical locationof the object of interest into a pixel position within an image of aspecific camera within the plurality of cameras such that the area ofinterest is essentially centered around the pixel position correspondingto the physical location of the object of interest, and is whollycontained within the image captured by the specific camera; andextracting, by the one or more processor units, the area of interestsubstantially centered around the pixel position corresponding to thephysical location of the object of interest.

A further aspect of the present invention is to provide a computersystem for selecting an area of interest from a plurality of imagescaptured by a plurality of cameras. The system includes one or moreprocessor units configured to: receive a request for an area of interestfrom a plurality of images, the area of interest containing an object ofinterest selected by a user, the object of interest being captured inone or more images captured by one or more of the plurality of cameras,the plurality of cameras having overlapping field of views such thatimages captured by the plurality of cameras have a plurality ofoverlapping regions, the request containing an identity of the object ofinterest; determine a camera within the plurality of cameras that whollycontains the area of interest using the physical location of the objectof interest; transform the physical location of the object of interestinto a pixel position within an image of a specific camera within theplurality of cameras such that the area of interest being essentiallycentered around the pixel position corresponding to the physicallocation of the object of interest, and is wholly contained within theimage captured by the specific camera; and extract the area of interestsubstantially centered around the pixel position corresponding to thephysical location of the object of interest.

Various examples of implementations of the above methods and systems areprovided in the following paragraphs including, but not limited to,implementation in a sports environment, gaming environment, lawenforcement environment, etc.

Although the various steps of the method are described in the aboveparagraphs as occurring in a certain order, the present application isnot bound by the order in which the various steps occur. In fact, inalternative embodiments, the various steps can be executed in an orderdifferent from the order described above or otherwise herein.

These and other objects, features, and characteristics of the presentinvention, as well as the methods of operation and functions of therelated elements of structure and the combination of parts and economiesof manufacture, will become more apparent upon consideration of thefollowing description and the appended claims with reference to theaccompanying drawings, all of which form a part of this specification,wherein like reference numerals designate corresponding parts in thevarious figures. In an embodiment of the invention, the structuralcomponents illustrated herein are drawn to scale. It is to be expresslyunderstood, however, that the drawings are for the purpose ofillustration and description only and are not intended as a definitionof the limits of the invention. As used in the specification and in theclaims, the singular form of “a”, “an”, and “the” include pluralreferents unless the context clearly dictates otherwise.

BRIEF DESCRIPTION OF THE DRAWINGS

In the accompanying drawings:

FIG. 1 depicts schematically a moving object being tracked by a trackingdevice attached to the object and a transmitter attached to the objecttransmitting tracking information, according to an embodiment of thepresent invention;

FIG. 2 depicts schematically the transmitter attached to the objecttransmitting the tracking information as a data stream to a receiverdevice, according to an embodiment of the present invention;

FIG. 3 depicts schematically the receiver device connected to a computersystem that receives the data stream and stores it on a storage device,according to an embodiment of the present invention;

FIG. 4 depicts schematically a video camera, according to an embodimentof the present invention;

FIG. 5 depicts schematically the video camera collecting an image at aninstant in time, according to an embodiment of the present invention;

FIG. 6 depicts schematically the video camera collecting an image at aninstant in time where the camera is static (fixed in position) andcollecting the image at an incident angle, and the image having aperspective view of object(s) being captured in the image, according toan embodiment of the present invention;

FIG. 7 depicts schematically the video camera collecting an image at aninstant in time where the camera is static and collecting the imagelooking down on the object(s), and the image is a top-view of the fieldof view, according to an embodiment of the present invention;

FIG. 8 depicts schematically the video camera having sensors thatprovide a position of the camera, for example, GPS sensor, IMU sensorand/or any other type of sensors such as visual sensor, according to anembodiment of the present invention;

FIG. 9 depicts schematically an object being tracked and captured in animage at a location at an instant in time, in the field of view of thecamera with a known location and orientation, the pixel position of theobject in the image at that instant in time can be computed from thephysical location of the object, according to an embodiment of thepresent invention;

FIG. 10 depicts a conversion from the physical location of the object,within the field of view of the camera, being tracked or captured, tothe pixel location of the object within an image captured by the cameraat substantially the same instant in time, according to an embodiment ofthe present invention;

FIG. 11 depicts schematically a video camera with various sensors thatdetermine the position of the camera including, a GPS sensor, an IMUsensor or other types of sensors, according to an embodiment of thepresent invention;

FIG. 12 depicts schematically a video camera arranged in a matrix of aplurality of cameras such that the field of view of one camerasubstantially overlaps the field of view of an adjacent camera by aknown amount, according to an embodiment of the present invention;

FIG. 13 depicts an image I_(Ca) captured by the camera, the image havinga pixel width W and a pixel height H, according to an embodiment of thepresent invention;

FIG. 14 depicts an image I_(D) selected for display on a display deviceD, where the pixel width of image I_(D) is D_(W) pixels and the pixelheight of image I_(D) is D_(H) pixels, where I_(D) is a portion of imageI_(Ca) captured by the camera such that pixel width W>D_(W) and pixelheight H>D_(H), according to an embodiment of the present invention;

FIG. 15 depicts schematically an example of image I_(D) and image I_(Ca)such that W/2>D_(W) and H/2>D_(H), that is the pixel width and pixelheight of the displayed area of interest from the camera image is atleast half the pixel width and pixel height of the image captured by thecamera, according to an embodiment of the present invention;

FIG. 16 depicts schematically an example of two adjacent cameras, eachcamera generating an image of pixel width W and pixel height H, with ahorizontal overlap of O_(W) pixels where O_(W)≥D_(W), according to anembodiment of the present invention;

FIG. 17 depicts schematically an example of two adjacent cameras, eachcamera generating an image of pixel width W and pixel height H, with ahorizontal overlap of O_(W) pixels where O_(W)≥D_(W), and four examplesof an area of interest D₁, D₂, D₃ and D₄ such that each area of interestis wholly contained within the image captured by at least one camera, asa result of the overlap, according to an embodiment of the presentinvention;

FIG. 18 depicts schematically an example of two adjacent cameras, eachgenerating an image of pixel width W and pixel height H, with a verticaloverlap of O_(H) pixels where O_(H)≥D_(H), according to an embodiment ofthe present invention;

FIG. 19 depicts an example of two adjacent cameras, each generating animage of pixel width W and pixel height H, with a vertical overlap ofO_(H) pixels where O_(H)≥D_(H), and depicts 4 examples of an areas ofinterest D₁, D₂, D₃ and D₄ such that each area of interest is whollycontained within the image captured by at least one camera, as a resultof the overlap, according to an embodiment of the present invention;

FIG. 20 depicts schematically images generated by a matrix of aplurality of cameras where the cameras are configured such that thepixel data in one image generated by one camera is substantiallyidentical to the pixel data of one image generated by an adjacent cameradue to overlapping fields of view of one camera with the adjacentcamera, according to an embodiment of the present invention;

FIG. 21 depicts schematically a pixel in an aggregated image generatedfrom the matrix of cameras mathematically maps to a pixel within one ofthe constituent images from one or more of the cameras, according to anembodiment of the present invention;

FIG. 22 depicts schematically one image captured at one instant in timeby a camera, resulting in the capture of a plurality of temporallysequential images captured over time at a known frame rate, according toan embodiment of the present invention;

FIG. 23 depicts a conversion of a plurality of temporally sequentialimages I_(Ca) captured by the camera into a video stream V_(Ca) in aknown format and encoding, according to an embodiment of the presentinvention;

FIG. 24 depicts schematically a video stream V_(Ca) in a known formatand encoding being decoded into a plurality of temporally sequentialimages I_(Ca(decoded)) that are substantially identical to the imagesoriginally captured by the camera and converted into the video streamV_(Ca), according to an embodiment of the present invention;

FIG. 25 depicts schematically a desired area of interest or desiredregion D extracted from a plurality of decoded temporally sequentialimages I_(Ca(decoded)) captured over time T, according to an embodimentof the present invention;

FIG. 26 depicts schematically a plurality of images representing thedesired area of interest or desired region D extracted from a pluralityof decoded temporally sequential images I_(Ca(decoded)) captured overtime T being converted into a video codestream V_(ID) of a known formatand encoding, according to an embodiment of the present invention;

FIG. 27 depicts schematically a plurality of cameras arranged in amatrix such that the field of view of one camera substantially overlapsthe field of view of an adjacent camera, and each camera generates avideo containing some pixels in the video from one camera that aresubstantially identical to some pixels in the video from an adjacentcamera because of overlapping fields of view, according to an embodimentof the present invention;

FIG. 28 depicts schematically an object being tracked within the fieldof view of at least one camera, at any given instant in time, and thephysical location of the object can be represented by one or more pixelswithin the video generated by the at least one camera, according to anembodiment of the present invention;

FIG. 29 depicts schematically an object being tracked within the fieldof view of at least one camera, at any given instant in time, and thephysical location of the object can be accurately represented by one ormore pixels within the video generated by the camera, and depicts apixel width and a pixel height of an overlapping region greater than orequal to the pixel width and pixel height of a desired area of interestcentered around the one or more pixels representing the object beingtracked, according to an embodiment of the present invention;

FIG. 30 depicts schematically a plurality of images comprising thedesired area of interest centered around the pixel representation of theobject being tracked being extracted from a plurality of videocodestreams from a plurality of cameras arranged in a matrix ofoverlapping fields of view, according to an embodiment of the presentinvention;

FIG. 31 depicts that a plurality of images comprising of the desiredarea of interest centered around the pixel representation of the objectbeing tracked are extracted from a plurality of video codestreams from aplurality of cameras arranged in a matrix of overlapping fields of viewand then converted into a video codestream in a known format andencoding, according to an embodiment of the present invention;

FIG. 32 depicts schematically a plurality of images comprising thedesired area of interest centered around the pixel representing theobject being tracked being extracted from a plurality of videocodestreams from a plurality of cameras arranged in a matrix ofoverlapping fields of view and converted into a video codestream in aknown format and encoding and transmitted over a LAN, WAN or Internet toa computing device for decoding, viewing or image processing andanalysis or display on a display device, according to an embodiment ofthe present invention;

FIG. 33 depicts a flowchart of a method of delivering a video of an areaof interest centered on the physical position of an object being trackedlive, according to an embodiment of the present invention;

FIG. 34 depicts a flowchart of a method of delivering a video of an areaof interest centered on the physical position of an object being trackedfrom an existing archive for a requested time window, according to anembodiment of the present invention;

FIG. 35 depicts an example of a computer system for implementing one ormore of the methods and systems of delivering or viewing a video of anarea of interest centered on a physical location of an object beingtracked, according to an embodiment of the present invention;

FIGS. 36A-36D depict an example of providing a video of an object ofinterest on-demand based on a selection of the object by a user,according to an embodiment of the present invention;

FIG. 37 depicts another example of providing a video of an object ofinterest on-demand based on a selection of the object by a user,according to another embodiment of the present invention;

FIG. 38 depicts another example of providing a video of an object ofinterest on-demand based on a selection of the object by a user,according to another embodiment of the present invention;

FIGS. 39A-39D depict an example of a display device (e.g., a smartdevice) for viewing a custom on-demand video of an object of interest,according to an embodiment of the present invention;

FIGS. 40A-40D depict an example of interaction of a user on graphicaluser interface (GUI) providing functionality to access a custom video,according to an embodiment of the present invention; and

FIG. 41 depicts another configuration of the GUI that is displayed adisplay device (e.g., a smart device) of a user, according to anembodiment of the present invention.

DETAILED DESCRIPTION OF EMBODIMENTS OF THE INVENTION

FIG. 1 depicts schematically a moving object being tracked by a trackingdevice attached to the object and a transmitter attached to the objecttransmitting tracking information, according to an embodiment of thepresent invention. As shown in FIG. 1, an object O_(m) static or inmovement (in motion) can be tracked using a tracking device or a locatorbeacon L_(b). In an embodiment, a locator beacon L_(b) is an electronicdevice that uses one or more sources of electromagnetic frequency. Inanother embodiment, locator beacon L_(b) can be a detectable pattern orvisual reference. An example of a locator beacon L_(b) can be a GlobalPositioning System (GPS) unit, an Inertial Measurement Unit (IMU), aBLUETOOTH device, a laser, an optical sensor, an image pattern or visualreference (a discernable color), a marking, or any combination thereof.The locator beacon L_(b) generates or helps generate or compute theabsolute position OP_(i) of object O_(m) in three dimensions (3D) at agiven instant in time Ti across time T.

The physical location or position of object O_(m) in 3D space can bewritten as OP_(i)(X_(i),Y_(i),Z_(i)). For example, X_(i) can belongitude, Y_(i) can be latitude, Z_(i) can be elevation. A referencepoint OP_(R)(X_(R), Y_(R), Z_(R)) can be provided for the locationOP_(i). The reference point OP_(R) has coordinates (X_(R), Y_(R), Z_(R))in the 3D space. For example, a reference point for longitude, latitudeand elevation can be (0, 0, sea-level). The locator beacon L_(b) cangenerate or assist in the generation of a stream of ‘n’ position pointsOP_(i) (X_(i),Y_(i),Z_(i)) over time T. Object (O_(m)) can be static(immobile) or can be in motion. The object O_(m) can be a shoe, a car, aprojectile, a baseball, an American football, a soccer ball, a helmet, ahorse, a ski or ski-boot, a skating shoe, etc. The object can be anaquatic, a land-based, or an airborne lifeform. The object can also be amanmade item that is tagged with the locator beacon. The Object O_(m)may also be provided with a wired or wireless transmission deviceD_(xmit). For example, the device D_(xmit) can be configured to transmita data stream from locator device L_(b) to a receiver using some knownprotocol, e.g. HTTP, TCP or HTTPS.

FIG. 2 depicts schematically the transmitter attached to the objecttransmitting the tracking information from locator device L_(b) as adata stream to a receiver device, according to an embodiment of thepresent invention. As shown in FIG. 2, the data stream or collection ofreadings captured by locator beacon L_(b) is transmitted by transmissiondevice (transmitter) D_(xmit) and received by receiver device (receiver)D_(rcv). The receiver device (receiver) D_(rcv) can be a wired device, awireless device, or a cellular device.

FIG. 3 depicts schematically the receiver device D_(rcv) connected to acomputer system C_(o) that receives the data stream and stores it on astorage device S, according to an embodiment of the present invention.As shown in FIG. 3, the receiver D_(rcv) sends the data to a computersystem C_(o) which in turn stores the received data on to a storagedevice S (e.g., a hard-drive, a network attached storage (NAS) device, astorage area network (SAN)). The data includes the data from locatordevice L_(b), identifier of locator device L_(b), metadata, the physicallocation or position of object O_(m) in 3D spaceOP_(i)(X_(i),Y_(i),Z_(i)), derived data, or any related data.

FIG. 4 depicts schematically a video camera, according to an embodimentof the present invention. FIG. 5 depicts schematically the video cameracollecting an image at an instant in time, according to an embodiment ofthe present invention. As shown in FIG. 5, the camera C_(a) (e.g., aconventional video camera) depicted in FIG. 4 captures a plurality oftemporally sequential images I_(Ca). As further shown in FIG. 5, thecamera image comprises a plurality of pixels C_(Pi)(X, Y), where i is aninteger number referring to a specific pixel i and x and y referring tothe position or coordinates of the pixel i. In an embodiment, the cameraC_(a) captures a video with relatively large image size such as, forexample, a 4K or 8K, or greater.

FIG. 6 depicts schematically the video camera collecting an image at aninstant in time where the camera is static (fixed in position) andcollecting the image at an incident angle, and the image having aperspective view of object(s) being captured in the image, according toan embodiment of the present invention. As illustrated in FIG. 6, ifcamera C_(a) is locked into a position such that it is at an angle, theresulting image coverage is trapezoidal where the objects closer to thecamera appear larger and those farther from the camera appear smaller.

FIG. 7 depicts schematically the video camera collecting an image at aninstant in time. The camera is static and collects the image lookingdown on the object(s), and the image is a top-view of the field of view,according to an embodiment of the present invention. In FIG. 7, theposition of the camera is looking down from an elevated position onto afield of view containing objects.

FIG. 8 depicts schematically the video camera having sensors thatprovide a position of the camera, for example, a GPS sensor, an IMUsensor and/or any other type of sensors such as visual sensor, accordingto an embodiment of the present invention. As shown in FIG. 8, cameraC_(a) can also be equipped with an optional GPS, IMU or otherpositioning sensors. In an embodiment, the orientation, pan, tilt andzoom values of camera C_(a) remain constant. In this case, the absoluteposition of the camera can be used to link the position of each pixel inthe image captured by the camera to the physical space or field of viewbeing captured by the camera C_(a).

FIG. 9 depicts schematically an object being tracked and captured in animage at a location at an instant in time, in the field of view of thecamera C_(a) with a known location and orientation, the pixel positionof the object in the image at that instant in time can be computed fromthe physical location of the object, according to an embodiment of thepresent invention. As shown in FIG. 9, if the location and orientationof the camera is known, a tracked point OP_(i)(X_(i),Y_(i),Z_(i)) in 3Dspace at time Ti, that falls within the field of view of the cameraC_(a) has a corresponding projected point C_(Pi)(X,Y) within an imagecaptured by the camera C_(a) at about the same time,OP_(i)(X_(i),Y_(i),Z_(i))→C_(Pi)(X, Y).

FIG. 10 depicts a conversion from the physical location of the object,within the field of view of the camera, being tracked or captured, tothe pixel location of the object within an image captured by the cameraat substantially the same instant in time, according to an embodiment ofthe present invention. As shown in FIG. 10, image processing, imagetracking, and other image-rectification methods (such asortho-rectification) can be used to accurately convert from the physicalposition OP_(i) of object O_(m) at any time T_(i) to an absolute pixellocation C_(Pi)(X, Y), such that OP_(i)(X_(i),Y_(i),Z_(i))→C_(Pi)(X, Y),within a frame of video that is captured at time T_(j), where,T_(i)=T_(j) or T_(i)≈T_(j). It is assumed that physical positionOP_(i)(X_(i),Y_(i),Z_(i)) is within the field of view of camera C_(a).The computation for image distortion and subsequent orthographicadjustment can also be performed if desired by the user. This data iscomputed by computer C_(o) and stored on storage S. In an embodiment,conventional processing and image tracking methods can be used toaccomplish this conversion.

FIG. 11 depicts schematically a video camera with sensors that determinethe position of the camera such as, a GPS sensor, an IMU sensor or othertypes of sensors, according to an embodiment of the present invention.FIG. 11 depicts a camera C_(a) that may be identical to the one shown inFIG. 8.

FIG. 12 depicts schematically a matrix of a plurality of cameras suchthat the field of view of one camera substantially overlaps the field ofview of an adjacent camera by a known amount, according to an embodimentof the present invention. An array of such cameras can be arranged in amatrix configuration comprising of rows 1 to r and columns 1 to c whereC_(a(i,j)) is one camera in the matrix. Hence, cameras C_(a(i+1,j)) andCa_((i,j+1)), are adjacent cameras to C_(a(i,j)). The indices i and jrepresent the row and column numbers in the matrix of cameras,respectively. In an embodiment, the cameras can be mounted in such a waythat the field of view of one camera C_(a(i,j)) overlaps (has at leastsome overlap) with the field of view of an adjacent camera. The quantityof overlap can be configured and selected as needed. For example, thecameras can have an overlap such that at least 50% of the pixels in thehorizontal direction for one camera are substantially identical to atleast 50% of the pixels in the horizontal direction for an adjacentcamera to the left or right of the one camera. In another example, thecameras can have an overlap such that at least 50% of the pixels in thevertical direction for one camera are substantially identical to atleast 50% of the pixels in the vertical direction for an adjacent camerato the top or bottom of the one camera.

FIG. 13 depicts an image I_(Ca) captured by one camera in the matrix ofcameras, the image having a pixel width W and a pixel height H,according to an embodiment of the present invention. As shown in FIG.13, the image I_(Ca) as captured by such camera C_(a) has pixel width Wand pixel height H. The pixel width W and pixel height H of the imagecaptured by the camera can be selected as desired by the user, forexample, using one of the settings of the camera.

FIG. 14 depicts an image I_(D) selected for display on a display deviceD, where the pixel width of displayed image I_(D) is D_(W) pixels andthe pixel height of image I_(D) is D_(H) pixels, according to anembodiment of the present invention. The displayed image I_(D) is aportion of captured image I_(Ca) captured by the camera such that pixelwidth W of captured image I_(Ca) is greater than the pixel width D_(W)of displayed image I_(D) (W>D_(W)) and pixel height H of captured imageI_(Ca) is greater than pixel height D_(H) of displayed image I_(D)(H>D_(H). Although, the term “displayed” is used in this example toindicate an image displayed on a display device such as a computerscreen, as it must be appreciated that the term “displayed image” canalso encompass an image that is transformed or transmitted or otherwiseprocessed and is not limited to only displaying the image on a displaydevice.

FIG. 15 depicts schematically an example of image I_(D) and image I_(Ca)such that W/2≥D_(W) and H/2≥D_(H). In other words, the pixel width andpixel height of the displayed area of interest from the camera image isat least half the pixel width and pixel height of the image captured bythe camera, according to an embodiment of the present invention. Asshown in FIG. 15, the image I_(D) is a sub-image of I_(Ca) where I_(D)is an area of interest within I_(Ca). For example, if W is 3840, H is2160, then D_(W) is 1920 or smaller and D_(H) is 1080 or smaller. Notethat a display device D does not need to be a computer monitor orcomputer screen. It can be a window on a screen of a computer runningthe Microsoft WINDOWS operating system or Apple Mac OS-X operatingsystem. This window may display an image of any pixel width and height.For example, display D can be a window that has the followingdimensions, D_(W) is 960 pixels and D_(H) is 540 pixels.

In an embodiment, when using a matrix of cameras as shown in FIG. 12,the cameras are synchronized with each other. A first camera covers afirst field of view and a second camera adjacent to the first cameracovers a second field of view to the left or to the right of the firstfield of view. The first and second cameras are temporally synchronized,for example by using a ‘genlock’ signal. This implies that the firstcamera captures a first image at a first instant in time, and the secondcamera captures a second image at a second instant in time and the firstinstant in time and the second instant in time are substantially thesame.

FIG. 16 depicts schematically an example of images captured by twoadjacent cameras (e.g., the first camera and the second camera), eachcamera generating an image of pixel width W and pixel height H, with ahorizontal overlap between the images of O_(W) pixels where O_(W)≥D_(W),according to an embodiment of the present invention. In other words, thefirst image captured by the first camera and the second image capturedby the second camera overlap with a certain amount overlap O_(W). In anembodiment, as shown in FIG. 16, the first image has pixels in thehorizontal direction, along the width of the first image that aresubstantially identical to the pixels in the horizontal direction, alongthe width of the second image. This is referred to as a pixel overlap orimage overlap or overlapping image. The overlap is O_(W) pixels wide. Inan embodiment, the overlap O_(W) is greater than or equal to the widthD_(W) of the display device or window shown displayed on the displaydevice (i.e., O_(W)≥D_(W)).

FIG. 17 depicts schematically an example of two images generated by twoadjacent cameras, each camera generating an image of pixel width W andpixel height H, with a horizontal overlap between the two images ofO_(W) pixels where O_(W)≥D_(W), according to an embodiment of thepresent invention. FIG. 17 further depicts four examples of an area ofinterest D₁, D₂, D₃ and D₄ such that each area of interest is whollycontained within the image captured by at least one camera, as a resultof the overlap, according to an embodiment of the present invention. Asshown in FIG. 17, if the areas of interest D1, D2, D3 or D4 is such thatO_(W)≥D_(W), then the area of interest D1, D2, D3 or D4 is whollycontained within at least the image I_(Ca) of one camera. As shown inFIG. 17, area of interest (AOI) D1 is contained within a first half ofthe first image I_(Ca(0,0)), AOI D2 is contained in both the second halfof the first image as well as first half of the second image in theoverlap area O_(W), I_(Ca(0,0)) and I_(Ca(0,1)), AOI D3 is containedwithin the second half of the second image, I_(Ca(0,1)). A portion ofAOI D4 is contained within the second half of the second image andanother portion of AOI D4 is contained within the first half of thesecond image and the second half of the first image, in the overlap areaO_(W).

In a similar fashion, a first camera may cover a first field of view anda second camera may cover a second field of view above or below thefirst field of view of the first camera. The first and second camerasare temporally synchronized, for example by using a ‘genlock’ signal.This implies that the first camera captures a first image at a firstinstant in time, and the second camera captures a second image at asecond instant in time and the first instant in time and the secondinstant in time are substantially the same.

FIG. 18 depicts schematically an example of two images from two adjacentcameras (e.g., the first camera and the second camera), each cameragenerating an image of pixel width W and pixel height H, with a verticaloverlap of O_(H) pixels where O_(H)≥D_(H), according to an embodiment ofthe present invention. In other words, a first image captured by thefirst camera and a second image captured by the second camera overlapwith a certain amount O_(H). In an embodiment, as shown in FIG. 18, thefirst image has pixels in the vertical direction, along the height ofthe first image that are substantially identical to the pixels in thevertical direction, along the height of the second image. This isreferred to as a pixel overlap or image overlap or overlapping image.The overlap is O_(H) pixels wide. In an embodiment, the overlap O_(H) isgreater than or equal to the height D_(H) of the display device orwindow (O_(H)≥D_(H)).

FIG. 19 depicts an example of two adjacent first and second images fromfirst and second cameras, each generating an image of pixel width W andpixel height H, with a vertical overlap of O_(H) pixels whereO_(H)≥D_(H), and depicts 4 examples of an areas of interest D₁, D₂, D₃and D₄ such that each area of interest is wholly contained within theimage captured by at least one camera, as a result of the overlap,according to an embodiment of the present invention. As shown in FIG.19, if the area of interest D1, D2, D3 or D4 is such that O_(H)≥D_(H),then the area of interest D1, D2, D3 or D4 is wholly contained within atleast the image I_(Ca) of one camera. As shown in FIG. 19, area ofinterest (AOI) D1 is contained within a first half of the first imageI_(Ca(0,0)), AOI D2 is contained in both the second half of the firstimage as well as first half of the second image in the overlap areaO_(H), I_(Ca(0,0)) and I_(Ca(1,0)), AOI D3 is contained within thesecond half of the second image, I_(Ca(1,0)). A portion of AOI D4 iscontained within the second half of the second image and another portionof AOI D4 is contained within the first half of the second image and thesecond half of the first image, in the overlap area O_(H).

FIG. 20 depicts schematically images generated by a matrix of aplurality of cameras where the cameras are configured such that thepixel data in one image generated by one camera is substantiallyidentical to the pixel data of one image generated by an adjacent cameradue to overlapping fields of view of one camera with the adjacentcamera, according to an embodiment of the present invention. FIG. 20depicts the matrix of cameras of r-rows and c-columns, arranged to beadjacent to each other with overlapping fields of view, such that theimages generated by one camera overlaps with the images generated by anadjacent camera in the horizontal plane and/or in the vertical plane.The images generated by the plurality of adjacent cameras (or matrix ofcameras) form a larger aggregated image having a width W_(full) and aheight H_(full). The notional aggregated image is simply logical innature as it is not physically generated by stitching images from eachcamera together to form a larger image. The row and column values orindices in the matrix of images from the plurality of cameras can beused for further computation.

FIG. 21 depicts schematically a pixel in an aggregated image generatedfrom the matrix of cameras mathematically maps to a pixel within one ofthe constituent images from one or more of the cameras, according to anembodiment of the present invention. As illustrated in FIG. 21, pixelC_(Pi)(X_(full),Y_(full)) in the resulting notional aggregated imagemaps to an actual pixel C_(Pi)(X,Y) which belongs to an image within aspecific camera. The position of this pixel can be derivedmathematically.

FIG. 22 depicts schematically one image captured at one instant in timeby a camera, resulting in the capture of a plurality of temporallysequential images captured over time at a known frame rate, according toan embodiment of the present invention. A single image I_(Ca) iscaptured by a camera at a given instant in time T_(i). The plurality oftemporally sequential images are captured by one camera at a known framerate Hz (frame/second). If all cameras are synchronized, all camerasgenerate such data at substantially the same rate Hz and substantiallysame instants in time.

FIG. 23 depicts a conversion of a plurality of temporally sequentialimages I_(Ca) captured by one camera into a video stream V_(Ca) in aknown format and encoding, according to an embodiment of the presentinvention. As shown in FIG. 23, each image I_(Ca) captured by one cameraC_(a) can be encoded inside or outside the camera into a video streamV_(Ca). Therefore, video stream V_(Ca) can be delivered from the cameraat a known frame rate (Hz) and in a known compressed or uncompressedformat. As illustrated in FIG. 23, the sequence of images, each imagebeing I_(Ca), is converted to video stream V_(Ca). The video streamV_(Ca) can be stored in primary or secondary computer memory or storedin a storage device for further processing or transmission. The videostream V_(Ca) can, for example, be displayed on a display device.

FIG. 24 depicts schematically a video stream V_(Ca) in a known formatand encoding being decoded into a plurality of temporally sequentialimages I_(Ca(decoded)) that are substantially identical to the imagesoriginally captured by the camera and converted into the video streamV_(Ca), according to an embodiment of the present invention. As shown inFIG. 24, video V_(Ca) can be decoded by another device into a pluralityof temporally sequential images, each image I_(Ca(decoded)) beingsubstantially similar to the corresponding original image I_(Ca) used tocreate V_(Ca). Video V_(Ca) is delivered from a camera at a knowndelivery or capture frame rate (in Hz) and in a known compressed oruncompressed format. The sequence of images in the Video are decodedfrom the video at a known decoding frame rate. The decoding frame ratecan be the same or different from the delivery or capture rate of thevideo.

FIG. 25 depicts schematically a desired area of interest or desiredregion D extracted from a plurality of decoded temporally sequentialimages I_(Ca(decoded)) captured over time T, according to an embodimentof the present invention. FIG. 25 depicts that a desired area ofinterest I_(D) can be extracted from an image I_(Ca(decoded)). Aplurality of areas of interest similar to I_(D) can be extracted from aplurality of images similar to I_(Ca(decoded)).

FIG. 26 depicts schematically a plurality of images representing thedesired area of interest or desired region D extracted from a pluralityof decoded temporally sequential images I_(Ca(decoded)) captured overtime T being converted into a video codestream V_(ID) of a known formatand encoding, according to an embodiment of the present invention. Theextracted plurality of areas of interest images, each image being anarea of interest image I_(D) from I_(Ca(decoded)), can then be encodedto a video codestream V_(ID) of known format.

FIG. 27 depicts schematically a plurality of cameras arranged in amatrix configuration such that the field of view of one camera has atleast some overlap with the field of view of an adjacent camera, andeach camera generates a video containing some pixels in the video fromone camera that are substantially identical to some pixels in the videofrom an adjacent camera because of overlapping fields of view, accordingto an embodiment of the present invention. For example, in anembodiment, the plurality of cameras can be configured to overlap by awidth of O_(W) pixels and a height of O_(H) pixels, where, for example,O_(W) is at least W/2 (i.e., greater than or equal to half the width Wof an image captured by one camera) and O_(H) is at least H/2 (i.e.,greater than or equal to half the height H of an image captured by onecamera). The plurality of cameras can be synchronized with each othersuch that the instant in time when an image is captured by one camera issubstantially the same as the instant in time when an image is capturedby all other cameras. The cameras can also be color calibrated tosubstantially match each other's color space. In an embodiment, allcameras are configured to generate video streams, depicted as V_(Ca1),V_(Ca2), V_(Ca3), and so on. As a result, a video matrix of overlappingvideo streams can be obtained from the matrix of cameras which captureoverlapping images/videos.

FIG. 28 depicts schematically an object being tracked within the fieldof view of at least one camera, at any given instant in time, and thephysical location of the object can be represented by one or more pixelswithin the video generated by the at least one camera, according to anembodiment of the present invention. As shown in in FIG. 28 and previousfigures, any point OP_(i)(X_(i),Y_(i),Z_(i)) in the physical space, thatis within the field of view of a camera at any given instant in timeT_(i), can be transformed into pixel space C_(Pi)(X,Y) for a specificcamera. Since the camera can be identified, the video that is generatedby the camera, and the instant in time within that video can be foundusing any conventional method. If point OP_(i)(X_(i),Y_(i),Z_(i)) is thelocation in the physical space of an object O_(m) being tracked, thenthe pixel location of object O_(m) can be projected to any pixelC_(Pi)(X,Y) with a video stream being captured by a camera that is inturn part of the camera matrix, provided OP_(i)(X_(i),Y_(i),Z_(i)) iswithin the field of view of at least one camera within the cameramatrix.

It is well known to those skilled in the art that the values of X, Y, Zand T of a plurality of points collected over time can be interpolatedusing conventional interpolation methods such as Spline interpolation. Apoint OP_(i)(X_(i), Y_(i), Z_(i)) that depicts the approximate locationof the object O_(m) being tracked can be generated at each instant intime T_(i) when an image was captured by the camera. As time T movesforward, a moving object with coordinates OP_(i)(X_(i), Y_(i), Z_(i))may traverse one or more overlapping cameras. Each dot shown in FIG. 28represents a position of the object at specific instant in time.

FIG. 29 depicts schematically an object being tracked within the fieldof view of at least one camera, at any given instant in time, and thephysical location of the object can be accurately represented by one ormore pixels within the video generated by the camera, and depicts apixel width and a pixel height of an overlapping region greater than orequal to the pixel width and pixel height of a desired area of interestcentered around the one or more pixels representing the object beingtracked, according to an embodiment of the present invention. As time Tmoves in the forward direction, a moving object may traverse one or moreoverlapping cameras. Each dot in FIG. 29 represents a position of theobject captured by at least one camera at a certain point in time. Asshown in FIG. 29, In an embodiment, each tracked point OP_(i) in thephysical space, measured or interpolated, can be mapped to a pixelposition CP_(i) of that point from an image frame I_(Ca(decoded)) fromvideo V_(Ca) captured by a camera C_(a). An area of interest image I_(D)that is substantially centered on pixel position C_(Pi) can then beselected (i.e., around the location of the object of interest). Theconstraint on the pixel width D_(W) and pixel height D_(H) of area ofinterest I_(D) is that D_(W)≤O_(W) and D_(H)≤O_(H), where O_(W) is theamount of overlap in camera video pixels in the horizontal direction andO_(H) is the amount of overlap in camera video pixels in the verticaldirection. Each area of interest I_(D) for each tracked point in theplurality of tracked points can be computed to exist in its entiretywithin the video generated by at least one camera. If, for example, thearea of interest is located with the overlap region, then the area ofinterest is within both an image captured by a first camera in theplurality of cameras and another image captured by a second camera inthe plurality of cameras.

FIG. 30 depicts schematically a plurality of images comprising thedesired area of interest centered around the pixel representation of theobject being tracked being extracted from a plurality of videocodestreams from a plurality of cameras arranged in a matrix ofoverlapping fields of views, according to an embodiment of the presentinvention. As shown in FIG. 30, In an embodiment, a plurality of area ofinterest images I_(D) can be extracted from videos captured by one ormore cameras. The images I_(D) corresponding to the area of interestthat are extracted from the videos V_(Ca1), V_(Ca2), etc. can bearranged in sequence or encoded to form a video (e.g., a time-lapsevideo), as described in the following paragraph.

FIG. 31 depicts a plurality of images comprising the desired area ofinterest centered around the pixel representation of the object beingtracked are extracted from a plurality of video codestreams from aplurality of cameras arranged in a matrix of overlapping fields of viewand then converted into a video codestream in a known format andencoding, according to an embodiment of the present invention. As shownin FIG. 31, In an embodiment, a plurality of area of interest images,each image being similar to I_(D), can be encoded into a videocodestream V_(ID) of a known format and encoding.

FIG. 32 depicts schematically a plurality of images comprising thedesired area of interest centered around the pixel representing theobject being tracked being extracted from a plurality of videocodestreams from a plurality of cameras arranged in a matrix ofoverlapping fields of view and converted into a video codestream in aknown format and encoding and transmitted over a LAN, WAN or Internet toa computing device for decoding, viewing or image processing andanalysis or display on a display device, according to an embodiment ofthe present invention. As shown in FIG. 32, In an embodiment, a firstvideo codestream V_(ID) of a known format and encoding can betransmitted to a first consumer application such as an APPLE iPad®application or an ANDROID application or a desktop computer softwareapplication or a client software program, where the video V_(ID) isgenerated to follow a first object O_(m) and the first object O_(m) isselected for being followed by the first consumer application. Inanother embodiment, a second video codestream V_(ID) of a known formatand encoding can be transmitted to a second consumer application such asan APPLE iPad® application or ANDROID application or a desktop computersoftware application or a client software program, where the videoV_(ID) is generated to follow a second object O_(m) and the secondobject O_(m) is selected for being followed by the second consumerapplication. The second object can be the same or different from thefirst object.

FIG. 33 depicts a flowchart of a method of delivering a video of an areaof interest centered on the physical position of an object beingtracked, according to an embodiment of the present invention. In anembodiment, a client requests for a live video that follows an objectO_(m) where the pixel requested dimensions of the video are D_(W) pixelwide by D_(H) pixels high. At S1100, a user selects an object O_(m) tobe followed and viewed for display or processing D, a user being a humanor a computer software program or other interface element or device. AtS1120, client software sends the identity of O_(m) and the specificationof D, for example width D_(W) and height D_(H) (e.g., display windowdimensions). For example, the user may send the dimensions of a screenof tablet screen or a screen of smart phone screen or a window within ona screen of personal computer, or television (TV) screen or a window orportion of the TV screen, etc. The client sends this request over LAN,WAN or the Internet and may use the HTTP or secure HTTP (HTTPS) or anyother computer network protocol such as TCP, ATM, etc. At S1140, serversoftware receives the request. In an embodiment, for all subsequentoperations by the server, the server may choose to exit upon error andreport an exception with an error message, if an error occurs.

At S1160, the server validates the request from the client software. Thevalidation includes determining that object O_(m) is indeed within thefield of view of at least one camera within the matrix of cameras andthat the area of interest D_(W) and D_(H) dimensions (for example,corresponding to the display dimensions) follow the constraints on theoverlapping pixel width O_(W) and overlapping pixel height O_(H) foreach video, for each camera. That is D_(W)≤O_(W) and D_(H)≤O_(H), whereO_(W) is the amount of overlap in camera video pixels in the horizontaldirection and O_(H) is the amount of overlap in camera video pixels inthe vertical direction). In an embodiment, the cameras are static and donot pan, tilt or zoom. In an embodiment, the cameras are color-matchedand synchronized. The cameras are arranged in a matrix such that thereis sufficient overlap of the field of view of the cameras so that theoverlap in pixels of the captured images or videos is at least O_(W)pixels wide and O_(H) pixels tall.

In an embodiment, after performing the validation at S1160, the serverfinds data, at S1180, from the locator beacon L_(b) for object O_(m).The server searches for and finds the most recent data from locatorL_(b). Within the data from locator L_(b), the server finds or computesphysical object location OP_(i) at S1200. At S1220, the server uses datafrom the locator to compute the camera Ca within the matrix of cameras,that wholly contains an area of interest that is D_(W) pixels wide byD_(H) pixels tall and centered substantially at pixel coordinate orposition C_(Pi). CP_(i) is the pixel coordinate in an image, at aspecific instant in time, from the video captured by the camera Cacorresponding to physical object location OP_(i) of object O_(m)captured by camera Ca. The server transforms the physical positionOP_(i)(X_(i), Y_(i), Z_(i)) obtained from the locater beacon data L_(b)into pixel position C_(Pi)(X_(i),Y_(i)) within an image for a specificcamera such that an area of an image of size D_(W)×D_(H) which issubstantially centered around position CP_(i) is wholly contained withinthe camera image.

At S1240, an image at the specific instant in time is decoded from theselected video from the selected camera. The video is live. At S1260,the area of interest that is D_(W) pixels wide by D_(H) pixels tall isextracted from the decoded image. The object O_(m) is substantially atthe center of the decoded image. If further image processing is requiredto correct the image for distortions, it is performed at S1280. The areaof interest image that is D_(W) pixels wide by D_(H) pixels tall is thenencoded into the video codestream V_(ID). The video codestream is forexample stored in a computer memory buffer, at S1300. At S1320, when thecomputer memory buffer has sufficient data for transmission, thecomputer transmits the data to the client that made the request. AtS1340, the method repeats the searching of the storage for locationphysical object location OP_(i) at S1200 to get the next physical orinterpolated location of OP_(i) from locator beacon data L_(b) that wascomputed by C_(o) and stored on storage device S and repeats the nextsteps at S1220, S1240, S1260, S1280, S1300 and S1300, as needed, untilthe client cancels the requests or ends the processing or closes theconnection, at S1340. In case the client closes the connection orcancels the request or ends the processing, the method ends at S1340.

FIG. 34 depicts a flowchart of a method of delivering a video of an areaof interest centered on the physical position of an object being trackedfrom an existing archive for a requested time window, according to anembodiment of the present invention. The method starts when a clientrequests for an existing archived video that follows an object O_(m)where the pixel requested dimensions of the video are D_(W) pixel wideby D_(H) pixels tall. At S2100, a user selects an object O_(m) to befollowed and viewed for display or processing D. The user can be a humanor a computer software program or other interface element. The user alsoselects a time window T_(in) to T_(out) between which the user wishes tofollow the object, where T_(in)<T_(out). This can be, for example, as aresult of a request to replay a portion of a video after the event hasoccurred. At S2120, client software sends the identity of O_(m) and thespecification of D, for example D_(W) and D_(H) and the time windowT_(in) to T_(out). In one embodiment, the client may send this requestover a local area network (LAN), a wide area network (WAN) or theInternet and may use the HTTP or secure HTTP (HTTPS) or any othercomputer network protocol such as TCP, ATM, etc. At S2140, the serversoftware receives the request. The server may choose to exit is an erroroccurs and report an exception with an error message. At S2160, theserver validates the request from the client software. Validationincludes verifying that there is content for the specific time window,and/or determining whether O_(m) is indeed within the field of view ofat least one camera within the plurality of cameras and determiningwhether the area of interest dimensions D_(W) and D_(H) is containedwithin the overlapping pixel width O_(W) and within an overlapping pixelheight O_(H) for each video from each camera. In an embodiment, thecameras are static and do not pan, tilt or zoom. In an embodiment, thecameras are color-matched and/or synchronized. The cameras are arrangedin a matrix such that there is sufficient overlap between the field ofview of the cameras so that the overlap in pixels of the resulting videois at least O_(W) pixels wide and O_(H) pixels tall.

After validation, at S2180, the server finds data from the locatorbeacon L_(b) for object O_(m). At S2200, the server enters a loop foreach time instant T_(i) starting from T_(in) to T_(out) in steps of dTwhere dT is 1/Hz (Hz is the video camera capture frame rate). At S2220,the server searches storage device S for and finds the data from locatorbeacon L_(b) at time T_(i). At S2220, within that data for L_(b), theserver finds or computes the physical location OP_(i) of object O_(m).At S2240, the server computes the camera C_(a) within the matrix ofcameras, that wholly contains an area of interest that is D_(W) pixelswide by D_(H) pixels tall and centered substantially around pixelposition C_(Pi) in the image of video containing the captured objectO_(m) that corresponds to physical OP_(i) of object O_(m). In otherwords, CP_(i) is the pixel coordinate in an image, at a specific instantin time, from the video captured by the camera C_(a) corresponding tophysical object location OP_(i) of object O_(m) captured by cameraC_(a).

At S2260, an image at the specific instant in time is decoded from theselected video from the selected camera. The video is archived on astorage device S from a prior capture. At S2280, the area of interestthat is D_(W) pixels wide by D_(H) pixels tall is extracted from thedecoded image. CP_(i) is substantially at the center of this image. Thusobject O_(m) is substantially captured at the center of the image. Iffurther image processing may be needed to correct the image fordistortions, it is performed at S2300. The area of interest image thatis D_(W) pixels wide by D_(H) pixels tall is then encoded into the videocodestream V_(ID) and stored, for example, in a computer memory buffer,at S2320. At S2340, when the computer memory buffer has sufficient datafor transmission, for example, the server transmits the data containingthe video codestream V_(ID) in the memory buffer to the client that madethe request. At S2360, the method goes to S2200 and repeats theprocedures S220, S2240 and S2260, as needed, to get the next physical orinterpolated location of OP_(i) from location L_(b) at the next timeT_(i), which is computed by server C_(o) and stored on storage S. Ifand/or when T_(i) reaches time T_(out) or the client closes theconnection or cancels the request, the method ends at S2360.

In the following paragraphs, some examples of implementation of thepresent invention will be described. FIGS. 36A-36D depict an example ofproviding a video of an object of interest on-demand based on aselection of the object by a user, according to an embodiment of thepresent invention. For example, a plurality of cameras (not shown inFIG. 36A) can be distributed around the race track (e.g., NASCAR racetrack) 12 shown in FIG. 36A. The cameras are static (do not tilt, do notpan and do not zoom) and thus each camera has one orientation andcaptures a specific field of view. For example, the plurality of camerascan be arranged so as to cover the entire track 12. As shown in FIG.36D, adjacent cameras 20A and 20B have overlapping field of view (FOV)21A and 21B so as to capture images or videos containing objects ofinterest in overlapping region 21C, for example. An object (in this casea race car) 14 having a location tracking device or locator beacon suchas a geo positioning system (GPS) location device, upon selection by auser, can be followed by the user along the race track 12. Each camera20A and 20B will capture a series of sequential images or frames withinits specific field of view 21A and 21B, respectively. As it can beappreciated, the overlap region 21C can provide a smooth transition fromthe sequence of frames captured by the camera 20A to the sequence ofimages or frames captured by the camera 20B during the transition of therace car 14 from the field of view 21A of camera 20A to the field ofview of camera 20B in the race track 12. As depicted in FIGS. 36B and36C, a user can employ a viewing device such as a tablet 16 or asmartphone 18, etc. As illustrated in FIGS. 36B and 36C, a first usermay be following and viewing selected race car 14A on display device(e.g., the tablet) 16 while a second user may be following and viewing adifferent selected race car 14B on display device (e.g., the smartphone)18. Each user can select a car of interest as desired by activating orpointing on the car of interest using a pointer device or the like (or afinger touch on a touch sensitive device such as a tablet, for example).As shown in FIGS. 36B and 36C, the users can view completely distinctsets of images or videos. While a first user with display device 16 isviewing race car 14A racing in the race track 12, a second user has justwitnessed a collision between race car 14B and other race cars and atrack barrier in the race track 12. Although, as illustrated in thisexample, each user is viewing a different set of images or videos, otherusers may select the same race car and thus be able to follow the samerace car (object) and thus view the same set of images. In addition,other users may select a race car that will be within the same field ofview as another car in the race track (for example, two cars close toeach other or passing each other) and thus the user will be able to viewin at least a period of time images or videos containing both the racecar of interest to one user and the race car of interest to anotheruser. Although an example of implementation is provided herein whileusing a car race (e.g. NASCAR, FORMULA 1), the same can be applied to aderby or horse race, a boat race, a motorbike race, a bicycle race, or amarathon race or other track run, a ski race, a skating race, etc.

FIG. 37 depicts another example of providing a video of an object ofinterest on-demand based on a selection of the object by a user,according to another embodiment of the present invention. For example,video tracking of a suspect car by a law enforcement agency can beaccomplished by using the method described herein. For example, uponselection by a law enforcement officer of a car of interest or person ofinterest, the system is able to deliver a video showing and followingthe car or person of interest on a display device of the law enforcementofficer without the law enforcement officer switching between aplurality of display devices or manually switching between cameras as isperformed by conventional methods and systems. FIG. 37 depicts ageographical map 30 of a city showing a path 31 taken by a car ofinterest 32 tracked by the law enforcement agency. The law enforcementofficer can track the car of interest 32 on his display device (e.g., atablet, a computer screen or the like) along the path 31 taken by thecar of interest 32. There are many cameras placed in various locationsalong streets within the city. For example, the cameras can be placed onspecific buildings or structures while pointing to specific directionsto capture specific field of views. The system and method describedherein is able to determine a camera within the plurality of camerasthat wholly contains the car of interest (tracked by the law enforcementofficer) using the physical location of the car (acquired from thelocator beacon such as a GPS device on the car) and extract the area ofinterest corresponding to the physical location of car of interest, asshown in images 34A-E. The system and the method can deliver images or avideo of the car of interest 32 while the car 32 is driving in the city.The system is able to “switch” from images captured by one camera to anadjacent camera seamlessly to provide a continuous video showing the car32 driving in the streets of the city and thus allowing the lawenforcement officer to assess the position of the car 32 on the map 30.If a camera is not operating properly or there is a “blind area” or afield of view not captured by any of the cameras in the city, the systemcan switch or revert back to a map mode to display a portion 30A of themap 30 or the position of the car of interest on the portion 30B of themap 30, depending on the location of the car 32, as shown in images35A-B.

FIG. 38 depicts another example of providing a video of an object ofinterest on-demand based on a selection of the object by a user,according to another embodiment of the present invention. FIG. 38 showsa virtual football field 40 for fantasy team gameplay. A plurality ofcameras (not shown) are arranged in a plurality of football stadiums(e.g., NFL stadium). Each camera in the plurality of cameras capturesimages within a specific field of view in a specific football stadium.In an embodiment, the field of views of adjacent cameras in any footballstadium can be arranged so as to overlap to provide an overlap area orzone. The various videos from the different cameras in each stadium canbe stored in a storage device and, as described above, the position of aplayer on the football stadium is linked to an image of the footballplayer stored in the video captured by one or more of the plurality ofcameras. This is performed for each player and for each game in each ofthe plurality of football stadiums. A user or gamer is able to select afantasy team by assembling players from real teams. When a fantasyplayer in a gamer's fantasy team scores a “down” (e.g., a touchdown,first down, etc.), as shown in images 41 and 42, a video snippet can beplayed to the gamer showing the fantasy player scoring a touchdown or ata first down. The video snippet is extracted from the images in thevideos stored in the storage device in accordance to the position of thefantasy player on the fantasy field. The video snippet is a clip ofvideo of finite duration. This video snippet can be extracted using themethods described in the above paragraphs because the plurality ofcameras capturing the video have a known overlap of each of their FOVand the cameras are arranged to ensure an effective matrix configurationof the resulting content captured by the cameras. Therefore, as it canbe appreciated from the above, various football games (NFL, or schoolgames, etc.) can be made accessible at all times within a singleapplication. Various videos can be delivered on-demand to fans with theability for each fan to select a specific player in order to view avideo of the player in action. This can appear to each fan as being inthe director seat and controlling a virtual camera while having thefreedom to virtually “tilt”, “pan” and/or “zoom in/out” the virtualcamera to “point” the camera on a player of interest without the fanphysically controlling any real camera in a football stadium. The term“virtual camera” is used herein to indicate that the camera is not realand the user is able to control the virtual camera as if it is a realmoving camera (a camera that is able to zoom in/out, tilt and/or pan) tofollow an object of interest to the user. This also provides analternative streaming solution for a plurality (millions to hundreds ofmillions) of smart devices (tablets and smart phones) in the market. Inaddition, this allows casting alternative video streaming from the smartdevices to televisions independent of traditional cable televisionsubscriptions. This system also enables “speedwatch” functionality tofans to allow the fans to watch only their subjects of interests andon-demand.

FIGS. 39A-39D depict an example of a display device (e.g., a smartdevice) for viewing a custom on-demand video of an object of interest,according to an embodiment of the present invention. For example, when afan purchases officially licensed team merchandize, credentialinformation may be included with the merchandize to enable the fan toaccess a “StreamPlay” service to allow the fan to watch or view a customvideo of a player of the licensed team. In order to access the“StreamPlay” service, the fan first downloads or opens a softwareapplication (APP) on a smart device, for example, as shown in FIG. 39A.The fan then validates the team that is associated with the merchandizethat the fan purchased and loads the APP on the smart device, as shownin FIG. 39B. In an embodiment, during the loading of the APP on thesmart device, team specific highlights can be played to the fan toattract or retain the attention of the fan while the APP loads. Variousgames played by the team associated with the purchased merchandize andvalidated by the fan are listed to the fan on the smart device. The fanthen selects a specific game to watch, as shown in FIG. 39C. The user orfan is also provided with a graphical user interface (GUI) andfunctionality to control or customize his viewing experience, as shownin FIG. 39D. In an embodiment, the game begins in portrait mode whileproviding the option to switch to landscape mode if desired by pressingon a button in the GUI. In another embodiment, the switching of theviewing mode from portrait to landscape can simply be accomplished byturning the smart device by 90 deg., as is generally performed in anysmart device.

FIGS. 40A-40D depict an example of interaction of a user on graphicaluser interface (GUI) providing functionality to access a custom video,according to an embodiment of the present invention. As discussed in theabove paragraphs, a plurality of fixed-point cameras are mounted invarious stadiums to capture videos from their specific field of views.The captured videos are transmitted to a video server. In an embodiment,the videos can be stitched together or provided with some overlap toallow a smooth transition from a view captured by one camera to a viewcaptured by an adjacent camera. In an embodiment, digital audio ofplay-by-play of the game (home team and away team) is also captured andtransmitted to an audio server (which can be the same or different fromthe video server). Game metadata is also generated during the livetransmission of the video and audio data to the video server and audioserver. The game metadata is detailed information about the game aftercompletion of the game. For example, in an embodiment, individual playerstatistics and game statistics are included in the game metadata. Forexample, additional information can also be added by subject matterexperts such as commentators. For example, trivia information andrelationships of a specific aspect of the specific portion of a specificgame in relation to similar situations in past games may also beincluded in the game metadata. For example, during the game,play-by-play information is added by the game administrators or gameservice providers (for example, NFL). This information is added in theform of game metadata. Such game metadata is presented during therecorded broadcast of the games and is made available to subscribersover the Internet. The videos and the audios along with the metadata areprocessed and exported or transmitted to individual user or fan devices(e.g., smart devices) 50 to display custom videos based on inputselections from the user or fan, in accordance to the method describedin the above paragraphs, as shown in FIG. 40A. In an embodiment, theuser or fan can, for example, make appropriate selections and takeappropriate actions using a graphical user interface (GUI) 60incorporated within the received custom video 62. For example, the GUI60 can include semi-transparent navigation controls 61 withfunctionality that minimizes viewing distraction and reducing clutter,as shown in FIG. 40A.

The functionality provided through semi-transparent controls 61 of theGUI 60 allows a use or fan to control various inputs including stop andplayback and rewind to first downs, big play, scoring plays, etc, asshown in FIG. 40B. The control in the GUI 60 also allows a user toquickly navigate to home team or visitor team cameras, as well as listento home team, visitor team or media (e.g., ESPN) radio broadcasts. Thesemi-transparent controls 61 of the GUI 60 display upon a user touchesthe display of the smart device 50 and fade out if no input or action isreceived by the GUI 60 after a certain period of time (few seconds tofew minutes) has elapsed. The period of time can be set by the user orfan as desired. The system can select the best viewing angle for theuser depending on the selection of the player made by the user. However,the user is also able to control the viewing angle by selecting anappropriate camera icon 63, as shown in FIG. 40C. The GUI 60 of thesystem also provides the functionality to send the game or the customvideo being viewed by the user on the screen of the smart device 50 to aremote television by pressing on a button “Activate Mobile2TV” 64, asshown in FIG. 40D.

FIG. 41 depicts another configuration of the GUI that is displayed adisplay device (e.g., a smart device) 50 of a user, according to anembodiment of the present invention. In an embodiment, once the user orfan presses the button “Activate Mobile2TV” 64, as shown in FIG. 40D,the video streamed on the smart device 50 is sent to a television 70, asshown in FIG. 41. In an embodiment, as a result of sending the customvideo from the smart device 50 to the television 70, the GUI 60 on thesmart device changes its configuration to display instead football fieldconfiguration with a plurality of icons 65 representing the position ofthe plurality of cameras around the football stadium. Therefore, in anembodiment, the custom video is played on the television but the controlfunctionality provided by the GUI stays on the smart device. This allowsa remote interaction of the fan or user with the game as a whole. Theuser is able, for example, to select a player to display on the screen.The user is also able to select the camera by selecting (clicking ortouching) the corresponding icon 66 on GUI 60 and thus be able to watchthe video from that camera point of view. The user has enhanced cameracontrols and has complete control over virtual movement (tilt, zoom,pan, etc.) of a virtual camera. Furthermore, the user has greatercontrol over forward and backward play via speedwatch functionality. Asit can be appreciated, the user or fan plays the role of “a moviedirector” that has control over which view or camera to select. In anembodiment, the GUI 60 can further provide to the user or fan thefunctionality of taking screenshots or storing video clips and postingthe video clips and/or the screen shots to social media. In anembodiment, while the user is interacting with the GUI 60 to controlvarious features of custom video of the game, the custom video is stillplayed on the television screen 70. In an embodiment, advertisementimages, scoreboards and other graphics or writings (such as logos,badges, etc.) may be inserted by the system (computer server) into thecustom video automatically or as controlled by the computer server toprovide additional revenue generation. In an embodiment, theadvertisement or other graphics may be tailored depending on the playeror team selected by the user. In an embodiment, the insertion of theadvertisement is not control by the user but tailored by the computerserver according to the team selected by the user. For example, if thehome team is the Washington Redskins®, an advertisement showing aparticular restaurant in Washington, D.C. can be displayed in additionto the custom video of the football game selected by the user.

As it can be appreciated from the above paragraphs, dynamic videostreams (DVS), referred in the above paragraphs as videos or images, aregenerated from multiple geo-referenced fixed video cameras. The videostreams are custom generated according to inputs of the user such as aselection of a specific object or target of interest to be watched orfollowed. The DVS dynamically tracks the targets of interest from camerato camera based on target locations. The DVS provides at least one videostream for each object of interest using video(s) or images captured byone or more the plurality of cameras. Multiple targets of interest canbe tracked simultaneously.

In an embodiment, the method or methods described above can beimplemented as a series of instructions which can be executed by acomputer, the computer having one or more processors or computerprocessor units (CPUs). As it can be appreciated, the term “computer” isused herein to encompass any type of computing system or deviceincluding a personal computer (e.g., a desktop computer, a laptopcomputer, a tablet, a smartphone, or any other handheld computingdevice), or a mainframe computer (e.g., an IBM mainframe), or asupercomputer (e.g., a CRAY computer), or a plurality of networkedcomputers in a distributed computing environment.

For example, the method(s) may be implemented as a software programapplication which can be stored in a computer readable medium such ashard disks, CDROMs, optical disks, DVDs, magnetic optical disks, RAMs,EPROMs, EEPROMs, magnetic or optical cards, flash cards (e.g., a USBflash card), PCMCIA memory cards, smart cards, or other media.

Alternatively, a portion or the whole software program product can bedownloaded from a remote computer or server via a network such as theinternet, an ATM network, a wide area network (WAN) or a local areanetwork.

Alternatively, instead or in addition to implementing the method ascomputer program product(s) (e.g., as software products) embodied in acomputer, the method can be implemented as hardware in which for examplean application specific integrated circuit (ASIC) can be designed toimplement the method.

Various databases can be used which may be, include, or interface to,for example, an Oracle™ relational database sold commercially by OracleCorporation. Other databases, such as Informix™, DB2 (Database 2) orother data storage, including file-based, or query formats, platforms,or resources such as OLAP (On Line Analytical Processing), SQL (StandardQuery Language), a SAN (storage area network), Microsoft Access™ orothers may also be used, incorporated, or accessed. The database maycomprise one or more such databases that reside in one or more physicaldevices and in one or more physical locations. The database may store aplurality of types of data and/or files (e.g., images or video(s)) andassociated data or file descriptions, administrative information, or anyother data (e.g., metadata of the images or video(s)).

FIG. 35 depicts an example of a computer system (e.g., a computerserver) for implementing one or more of the methods and systems ofdelivering or viewing a video of an area of interest centered on aphysical location of an object being tracked, according to an embodimentof the present invention. FIG. 35 is a schematic diagram representing acomputer system 100 for implementing the methods, according to anembodiment of the present invention. As shown in FIG. 35, computersystem 100 comprises a computer processor unit (e.g., one or morecomputer processor units) 102 and a memory 104 in communication with theprocessor 102. The computer system 100 may further include an inputdevice 106 for inputting data (such as keyboard, a mouse, a joystick, agame controller, a touchscreen, etc.) and an output device 108 such as adisplay device for displaying results of the computation (e.g., computermonitor, tablet, smartphone, head mounted device HMD, etc.). Thecomputer system 100 may further include or be in communication with astorage device 110 for storing data such as, but not limited to, ahard-drive, a network attached storage (NAS) device, a storage areanetwork (SAN), etc. It must be appreciated that the term computerprocessor unit or processor is used herein to encompass one or morecomputer processor units. Where reference is made to a processor orcomputer processor unit that term should be understood to encompass anyof these computing arrangements.

Although the various steps of the method(s) are described in the aboveparagraphs as occurring in a certain order, the present application isnot bound by the order in which the various steps occur. In fact, inalternative embodiments, the various steps can be executed in an orderdifferent from the order described above.

Although the invention has been described in detail for the purpose ofillustration based on what is currently considered to be the mostpractical and preferred embodiments, it is to be understood that suchdetail is solely for that purpose and that the invention is not limitedto the disclosed embodiments, but, on the contrary, is intended to covermodifications and equivalent arrangements that are within the spirit andscope of the appended claims. For example, it is to be understood thatthe present invention contemplates that, to the extent possible, one ormore features of any embodiment can be combined with one or morefeatures of any other embodiment.

Furthermore, since numerous modifications and changes will readily occurto those of skill in the art, it is not desired to limit the inventionto the exact construction and operation described herein. Accordingly,all suitable modifications and equivalents should be considered asfalling within the spirit and scope of the invention.

What is claimed:
 1. A method of selecting an area of interest from aplurality of images captured by a plurality of cameras, the method beingimplemented by a computer system that includes one or more processorunits configured to execute computer program modules, the methodcomprising: receiving, by the one or more processor units, a request foran area of interest from a plurality of images, the area of interestcontaining an object of interest selected by a user, the object ofinterest being captured in one or more images captured by one or more ofthe plurality of cameras, the plurality of cameras having overlappingfield of views such that images captured by the plurality of camerashave a plurality of overlapping regions, the request containing anidentity of the object of interest; determining, by the one or moreprocessor units, a camera within the plurality of cameras that whollycontains the area of interest using the physical location of the objectof interest; transforming, by the one or more processor units, thephysical location of the object of interest into a pixel position withinan image of a specific camera within the plurality of cameras such thatthe area of interest being essentially centered around the pixelposition corresponding to the physical location of the object ofinterest, and is wholly contained within the image captured by thespecific camera; and extracting, by the one or more processor units, thearea of interest substantially centered around the pixel positioncorresponding to the physical location of the object of interest.
 2. Themethod according to claim 1, further comprising, wherein the requestfurther comprises dimensions of an output device.
 3. The methodaccording to claim 1, wherein the request is received through a networkusing network protocol.
 4. The method according to claim 1, wherein theplurality of cameras are static.
 5. The method according to claim 1,wherein the plurality of cameras are substantially color-matched.
 6. Themethod according to claim 1, wherein the plurality cameras aresubstantially synchronized in time.
 7. The method according to claim 1,wherein the plurality of cameras are arranged in a matrix configuration.8. The method according to claim 1, further comprising processing theextracted area of interest to correct for distortion.
 9. The methodaccording to claim 1, further comprising generating a video codestreamcontaining the area of interest by encoding the extracted area ofinterest into a video codestream.
 10. The method according to claim 9,further comprising storing the video codestream in memory.
 11. Themethod according to claim 10, further comprising transmitting the videocodestream to the client that made the request.
 12. The method accordingto claim 9, further comprising storing the video codestream in a storagedevice.
 13. The method according to claim 9, further comprisingdisplaying the video codestream containing the area of interest on adisplay device.
 14. The method according to claim 1, further comprisingrepeating determining a camera within the plurality of cameras thatwholly contains the area of interest using the physical location of theobject of interest; transforming the physical location of the object ofinterest into a pixel position within an image of a specific camerawithin the plurality of cameras such that the area of interest beingessentially centered around the pixel position corresponding to thephysical location of the object of interest, and is wholly containedwithin the image captured by the specific camera; and extracting thearea of interest substantially centered around the pixel positioncorresponding to the physical location of the object of interest untilthe request is cancelled or the method is terminated.
 15. The methodaccording to claim 1, further comprising extracting a plurality of areasof interest from a plurality of images captured by the plurality ofcameras.
 16. The method according to claim 1, further comprisingdetermining whether the object of interest is within a field of view ofat least one camera in the plurality of cameras.
 17. The methodaccording to claim 1, further comprising determining whether the area ofinterest is contained within at least one overlapping region in theplurality of overlapping regions.
 18. The method according to claim 1,wherein the object of interest moves from a field of view of one camerain the plurality of cameras to a field of view of another camera in theplurality of cameras.
 19. The method according to claim 1, wherein eachcamera in the plurality of cameras captures a plurality of sequentialimages.
 20. The method according to claim 19, wherein at least one ofthe plurality of sequential images contains the objects of interest. 21.The method according to claim 1, further comprising computing, by theone or more processor units, a physical location of the object ofinterest using data from a locator beacon associated with the object.22. The method according to claim 21, wherein the locator beaconcomprises a Global Positioning System (GPS) device, an InertialMeasurement Unit (IMU), an optical sensor, an image pattern, or amarking, or any combination of two or more thereof.
 23. The methodaccording to claim 1, wherein the object of interest is a footballplayer, a soccer player, a baseball player, a car, a horse, aprojectile.
 24. A method of extracting an area of interest containing anobject of interest from a plurality of images captured using a pluralityof cameras, the method being implemented by a computer system thatincludes one or more processor units configured to execute computerprogram modules, the method comprising: determining, by the one or moreprocessor units, using the data of the locator or the physical locationof the object of interest, a camera within the plurality of cameras thatwholly contains the area of interest, the area of interest containingthe object of interest, the object of interest being captured in one ormore images captured by one or more of the plurality of cameras, theplurality of cameras having overlapping field of views such that imagescaptured by the plurality of cameras have a plurality of overlappingregions; transforming, by the one or more processor units, the physicallocation of the object of interest into a pixel position within an imageof a specific camera within the plurality of cameras such that the areaof interest is essentially centered around the pixel positioncorresponding to the physical location of the object of interest, and iswholly contained within the image captured by the specific camera; andextracting, by the one or more processor units, the area of interestsubstantially centered around the pixel position corresponding to thephysical location of the object of interest.
 25. The method according toclaim 24, further computing, by the one or more processor units, aphysical location of the object of interest using data from a locatorbeacon associated with the object.
 26. The method according to claim 25,wherein the locator beacon comprises a Global Positioning System (GPS)device, an Inertial Measurement Unit (IMU), an optical sensor, an imagepattern, or a marking, or any combination of two or more thereof.
 27. Acomputer system for selecting an area of interest from a plurality ofimages captured by a plurality of cameras, the system comprising one ormore processor units configured to: receive a request for an area ofinterest from a plurality of images, the area of interest containing anobject of interest selected by a user, the object of interest beingcaptured in one or more images captured by one or more of the pluralityof cameras, the plurality of cameras having overlapping field of viewssuch that images captured by the plurality of cameras have a pluralityof overlapping regions, the request containing an identity of the objectof interest; determine a camera within the plurality of cameras thatwholly contains the area of interest using the physical location of theobject of interest; transform the physical location of the object ofinterest into a pixel position within an image of a specific camerawithin the plurality of cameras such that the area of interest beingessentially centered around the pixel position corresponding to thephysical location of the object of interest, and is wholly containedwithin the image captured by the specific camera; and extract the areaof interest substantially centered around the pixel positioncorresponding to the physical location of the object of interest. 28.The system according to claim 27, further comprising, wherein therequest further comprises dimensions of an output device.
 29. The systemaccording to claim 27, wherein the pone or more processor is configuredto receive the request through a network using network protocol.
 30. Thesystem according to claim 27, wherein the plurality of cameras arestatic.
 31. The system according to claim 27, wherein the plurality ofcameras are substantially color-matched.
 32. The system according toclaim 27, wherein the plurality cameras are substantially synchronizedin time.
 33. The system according to claim 27, wherein the plurality ofcameras are arranged in a matrix configuration.
 34. The system accordingto claim 27, wherein the one or more processor units are configured toprocess the extracted area of interest to correct for distortion. 35.The system according to claim 27, wherein the one or more processorunits are configured to generate a video codestream containing the areaof interest by encoding the extracted area of interest into a videocodestream.
 36. The system according to claim 35, further comprising amemory configured to store the video codestream.
 37. The systemaccording to claim 36, wherein the one or more processor units areconfigured to transmit the video codestream to the client that made therequest.
 38. The system according to claim 35, further comprising astorage device configured to store the video codestream.
 39. The systemaccording to claim 35, wherein the one or more processor units areconfigured to display the video codestream containing the area ofinterest on a display device.
 40. The system according to claim 27,further comprising repeating determining a camera within the pluralityof cameras that wholly contains the area of interest using the physicallocation of the object of interest; transforming the physical locationof the object of interest into a pixel position within an image of aspecific camera within the plurality of cameras such that the area ofinterest being essentially centered around the pixel positioncorresponding to the physical location of the object of interest, and iswholly contained within the image captured by the specific camera; andextracting the area of interest substantially centered around the pixelposition corresponding to the physical location of the object ofinterest until the request is cancelled or the method is terminated. 41.The system according to claim 27, wherein the one or more processorunits are configured to extract a plurality of areas of interest from aplurality of images captured by the plurality of cameras.
 42. The systemaccording to claim 27, wherein the one or more processor units areconfigured to determine whether the object of interest is within a fieldof view of at least one camera in the plurality of cameras.
 43. Thesystem according to claim 27, wherein the one or more processor unitsare configured to determine whether the area of interest is containedwithin at least one overlapping region in the plurality of overlappingregions.
 44. The system according to claim 27, wherein the object ofinterest moves from a field of view of one camera in the plurality ofcameras to a field of view of another camera in the plurality ofcameras.
 45. The system according to claim 27, wherein each camera inthe plurality of cameras captures a plurality of sequential images. 46.The system according to claim 45, wherein at least one of the pluralityof sequential images contains the object of interest.
 47. The systemaccording to claim 27, wherein the one or more processor units areconfigured to compute a physical location of the object of interestusing data from a locator beacon associated with the object.
 48. Thesystem according to claim 47, wherein the locator beacon comprises aGlobal Positioning System (GPS) device, an Inertial Measurement Unit(IMU), an optical sensor, an image pattern, or a marking, or anycombination of two or more thereof.
 49. The system according to claim27, wherein the object of interest is a football player, a soccerplayer, a baseball player, a car, a horse, a projectile.
 50. A computersystem for extracting an area of interest containing an object ofinterest from a plurality of images captured using a plurality ofcameras, the computer system comprising one or more processor unitsconfigured to: determine using the data of the locator or the physicallocation of the object of interest, a camera within the plurality ofcameras that wholly contains the area of interest, the area of interestcontaining the object of interest, the object of interest being capturedin one or more images captured by one or more of the plurality ofcameras, the plurality of cameras having overlapping field of views suchthat images captured by the plurality of cameras have a plurality ofoverlapping regions; transform the physical location of the object ofinterest into a pixel position within an image of a specific camerawithin the plurality of cameras such that the area of interest isessentially centered around the pixel position corresponding to thephysical location of the object of interest, and is wholly containedwithin the image captured by the specific camera; and extracting thearea of interest substantially centered around the pixel positioncorresponding to the physical location of the object of interest. 51.The system according to claim 50, wherein the one or more processorunits are configured to compute a physical location of the object ofinterest using data from a locator beacon associated with the object.52. The system according to claim 51, wherein the locator beaconcomprises a Global Positioning System (GPS) device, an InertialMeasurement Unit (IMU), an optical sensor, an image pattern, or amarking, or any combination of two or more thereof.